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Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset

Rashid, Mamunur and Norizam, Sulaiman and Mahfuzah, Mustafa and Sabira, Khatun and Bari, Bifta Sama and Hasan, Md Jahid and Al-Fakih, Nawfan M. M. A. (2019) Investigating the Possibility of Brain Actuated Mobile Robot through Single Channel EEG Headset. In: 5th International Conference On Electrical, Control And Computer Engineering (INECCE2019), 29-30 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-14..

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Brain-computer interface (BCI) is a fast-growing technology involving hardware and software communication systems that allow controlling external assistive devices through Electroencephalogram (EEG). The primary goal of BCI technology is to ensure a potential communication pathway for patients with severe neurologic disabilities. A variety of BCI applications have been presented in the last few decades which indicate that the interest in this field has dramatically increased. In this paper, the possibility of a brain-actuated mobile robot using single-channel EEG headset has been investigated. EEG data has been collected from Neurosky Mindwave EEG headset which consists of a single electrode. EEG feature in terms of power spectral density (PSD) has been extracted and classified this feature using the support vector machine (SVM). Then the classified signal has been translated into three devices command to control the mobile robot. This mobile robot can be driven in three directions namely forward, right and left direction. Data collection from EEG headset and sending commands to a mobile robot, the entire process has been done wirelessly.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Electroencephalogram (EEG), Brain-Computer Interface (BCI), Neurosky, Mobile Robot.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Noorul Farina Arifin
Date Deposited: 17 Jan 2020 08:48
Last Modified: 17 Jan 2020 08:48
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